You Probably Don’t Need an Agent Framework
Most LLM applications need a clear workflow, not an autonomous agent. Here's how to build one in plain Python. The post You Probably Don’t Need an Agent Framework appeared first on Towards Data Science.
MarktechPost·
We break down Google Cloud's new Open Knowledge Format (OKF), an open spec that formalizes the LLM-wiki pattern. We explain how a bundle works: a directory of markdown files with YAML frontmatter, where each concept needs only a type field. We cover the three design principles, the reference tools Google shipped, and how OKF differs from RAG. We include a working Python consumer and an interactive bundle explorer you can embed. The post Google Cloud Introduces Open Knowledge Format (OKF): A Vendor-Neutral Markdown Spec for Giving AI Agents Curated Context appeared first on MarkTechPost.
Read full articleMost LLM applications need a clear workflow, not an autonomous agent. Here's how to build one in plain Python. The post You Probably Don’t Need an Agent Framework appeared first on Towards Data Science.
Government ministries are deploying Google Cloud generative AI across municipal agencies to automate council planning operations. Public sector administration handles vast volumes of unstructured data that delay infrastructure development. The UK central government established a target to construct 1.5 million new homes by 2029. Local planning authorities encounter administrative backlogs caused by dense paperwork, delaying […] The post Google Cloud generative AI automates council planning operations appeared first on AI News.
HSBC's AI expansion with Google Cloud could redefine banking efficiency and profitability, setting a new standard for tech-driven financial strategies. The post HSBC partners with Alphabet’s Google Cloud to deploy AI globally, targeting $100M per project appeared first on Crypto Briefing.
Following a rigorous evaluation of the infrastructure market and a historic $1.1 billion seed round, Ineffable Intelligence enters agreement with Google Cloud to develop the world’s first “superlearner” LONDON, June […] The post Ineffable Intelligence Selects Google Cloud To Power Its Superintelligence Mission appeared first on AIwire.
In this tutorial, we build a workflow that uses Docling Parse to analyze PDF documents at a detailed structural level. We prepare a stable Python environment, handle common Colab dependency issues, and generate a custom multi-page PDF with text, columns, table-like content, vector shapes, and an embedded image. We then extract words, characters, and lines with page-level coordinates, render visual overlays, and save results into structured JSON and CSV. We see how low-level parsing supports layout analysis, reading-order reconstruction, and retrieval-ready document preparation. The post How to Build a Parsing Pipeline with Docling Parse for Layout-Aware Document Intelligence appeared first on MarkTechPost.
In this article, we’ll build time-series machine learning models in Python using sktime and explore its core data structures for forecasting workflows.
The incident highlights the vulnerability of cloud services to third-party infrastructure issues, emphasizing the need for diversified physical setups. The post Google Cloud outage in India triggered by third-party data center fire appeared first on Crypto Briefing.
PDFs are used everywhere, and these five Python scripts help you automate the most common PDF tasks.